Automation index
How much of a Livestock farmer’s job can AI already do?
A headcount and a ration come earlier. The animal whole and the calving coming out do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Livestock farmer
21%
AI can already do 21% of this job.
#429 / 643
View rankingLivestock farmer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Headcount, ration and the health log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Yard, calving and the one that lags.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Pasture, water and the fence that comes down.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Market, abattoir and the day’s price.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The drought, the feed and not running them too thin.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The animal whole, and the calving well.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- rations
- calving
- headcount
- fences
- pasture
- abattoir
- health log
- feed
Sources for this job· O*NET 45-1011.00· ESCO/ISCO 6121
IS WORK OVER?
Statistician
26%
#206 / 643
View rankingStatistician
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120